Marc Deisenroth
Titolo
Citata da
Citata da
Anno
PILCO: A model-based and data-efficient approach to policy search
MP Deisenroth, CE Rasmussen
International Conference on Machine Learning (ICML), 465-472, 2011
8862011
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath
IEEE Signal Processing Magazine 34 (6), 26-38, 2017
766*2017
A Survey on Policy Search for Robotics
MP Deisenroth, G Neumann, J Peters
Foundations and Trends in Robotics 2 (1-2), 1-142, 2013
7032013
Gaussian Processes for Data-Efficient Learning in Robotics and Control
MP Deisenroth, D Fox, CE Rasmussen
Transactions on Pattern Analysis and Machine Intelligence 37 (2), 408-423, 2015
4032015
Gaussian process dynamic programming
MP Deisenroth, CE Rasmussen, J Peters
Neurocomputing 72 (7-9), 1508-1524, 2009
2362009
Distributed Gaussian Processes
MP Deisenroth, JW Ng
International Conference on Machine Learning (ICML), 2015
2092015
Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning
MP Deisenroth, CE Rasmussen, D Fox
Robotics: Science & Systems (RSS), 2011
1812011
Efficient reinforcement learning using Gaussian processes
MP Deisenroth
KIT Scientific Publishing, 2010
1642010
Bayesian optimization for learning gaits under uncertainty
R Calandra, A Seyfarth, J Peters, MP Deisenroth
Annals of Mathematics and Artificial Intelligence 76 (1), 5-23, 2016
1542016
Doubly Stochastic Variational Inference for Deep Gaussian Processes
H Salimbeni, M Deisenroth
Advances in Neural Information Processing Systems (NIPS), 2017
1512017
Analytic moment-based Gaussian process filtering
MP Deisenroth, MF Huber, UD Hanebeck
International Conference on Machine Learning (ICML), 225-232, 2009
1462009
Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction
Z Wang, K Mülling, MP Deisenroth, HB Amor, D Vogt, B Schölkopf, ...
International Journal of Robotics Research, 2013
1292013
Manifold Gaussian processes for regression
R Calandra, J Peters, CE Rasmussen, MP Deisenroth
2016 International Joint Conference on Neural Networks (IJCNN), 3338-3345, 2016
1152016
From pixels to torques: Policy learning with deep dynamical models
N Wahlström, TB Schön, MP Deisenroth
arXiv preprint arXiv:1502.02251, 2015
1112015
Robust filtering and smoothing with Gaussian processes
MP Deisenroth, RD Turner, MF Huber, UD Hanebeck, CE Rasmussen
IEEE Transactions on Automatic Control 57 (7), 1865-1871, 2011
1092011
Data-efficient generalization of robot skills with contextual policy search
AG Kupcsik, MP Deisenroth, J Peters, G Neumann
Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
1042013
Multi-Task Policy Search for Robotics
MP Deisenroth, P Englert, J Peters, D Fox
IEEE International Conference on Robotics and Automation (ICRA), 2014
872014
State-Space Inference and Learning with Gaussian Processes
RD Turner, MP Deisenroth, CE Rasmussen
International Conference on Artificial Intelligence and Statistics, 868-875, 2010
832010
Neural embeddings of graphs in hyperbolic space
BP Chamberlain, J Clough, MP Deisenroth
arXiv preprint arXiv:1705.10359, 2017
782017
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
S Kamthe, MP Deisenroth
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
692018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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